Date: Fri, 05 Dec 2014 08:07:00 +0000
<p style="color: #224422; font-family: 'Lucida Bright', Georgia, serif; font-size: medium;"> Can algorithms help you find love? Many happy couples successfully brought together via online dating websites show us that data science can help you find love. I'm joined this week by Thomas Levi, Senior Data Scientist at <a href="http://www.pof.com/">Plenty of Fish</a>, to discuss some of his work which helps people find one another as efficiently as possible.</p> <p style="color: #224422; font-family: 'Lucida Bright', Georgia, serif; font-size: medium;"> Matchmaking is a truly non-trivial problem, and one that's dynamically changing all the time as new users join and leave the "pool of fish". This episode explores the aspects of what makes this a tough problem and some of the ways POF has been successfully using data science to solve it, and continues to try to innovate with new techniques like interest matching.</p> <p style="color: #224422; font-family: 'Lucida Bright', Georgia, serif; font-size: medium;"> For his benevolent references, Thomas suggests readers check out <a href="http://www.amazon.com/All-Statistics-Statistical-Inference-Springer/dp/0387402721">All of Statistics</a> as well as the <a href="http://topepo.github.io/caret/index.html">caret</a> library for R. And for a self serving recommendation, follow him on twitter (<a href="https://twitter.com/tslevi">@tslevi</a>) or connect with <a href="https://ca.linkedin.com/pub/thomas-levi/32/94/40a">Thomas Levi on Linkedin</a>.</p>
